Graph Machine Learning Resources

Books

• Geometric Deep Learning

  Michael M. Bronstein 🐦,

  Joan Bruna 🐦,

  Taco Cohen 🐦,

  Petar Veličković 🐦
• Graph Neural Networks

  Lingfei Wu 🐦,

  Peng Cui,

  Jian Pei,

  Liang Zhao
• Graph Representation Learning

  William L. Hamilton
• Deep Learning on Graphs

  Yao Ma,

  Jiliang Tang 🐦
• Graph Machine Learning

  Claudio Stamile,

  Aldo Marzullo,

  Enrico Deusebio
• Machine Learning with PyTorch and Scikit-Learn (Chapter 18)

  Sebastian Raschka 🐦
• Introduction to Graph Neural Networks

  Zhiyuan Liu 🐦,

  Jie Zhou

Lectures

• Machine Learning with Graphs (Stanford CS224W, Semester Course)

  Jure Leskovec 🐦
• First Italian School on Geometric Deep Learning

  Cristian Bodnar 🐦,

  Michael Bronstein 🐦,

  Francesco Di Giovanni 🐦,

  Pim de Haan 🐦,

  Maurice Weiler 🐦
• Graph Convolutional Networks (NYU Deep Learning Course, Lecture 13) [Course website]

  Xavier Bresson 🐦, Alfredo Canziani 🐦, Yann LeCun 🐦

Getting Started

• Graph Neural Network Course

  Maxime Labonne 🐦

  
• An Attempt at Demystifying Graph Deep Learning

  Eric Ma 🐦

  
• Representation Learning on Graphs: Methods and Applications

  William L. Hamilton,

  Rex Ying 🐦,

  Jure Leskovec 🐦
• Graph Neural Networks - a perspective from the ground up

  Alex Foo
• Code-based introduction: Build your own GNN-powered drug screening predictor in one hour (or less)

  Petar Veličković 🐦

Papers

• Collection of papers curated by @thunlp: Must-read papers on GNNs.
  
• Collection of papers curated by @GRAND-Lab : Awesome resources on Graph Neural Networks.
  

Blogs and Newsletters

• Michael Bronstein's Medium 🐦
• Michael Galkin's Medium 🐦
• Graph Machine Learning Telegram Channel

  Administered by Chaitanya K. Joshi 🐦
• Graph Machine Learning Substack

  By Sergey Ivanov 🐦

Community

• LoGaG: Learning on Graphs and Geometry Reading Group

  Managed by Hannes Stärk 🐦
• Graph Representation Learning Reading Group
• Twitter Community « Graph Machine Learning »
• Learning on Graphs Conference 🐦

Frameworks and Libraries

• PyTorch Geometric (PyG)
• Spektral
• Deep Graph Library (DGL)